Reactive compensation optimization in electrical systems by the CRITIC method

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Alvaro Napoleón Chiguano Velasco
Jessica Nataly Castillo Fiallos
Carlos Iván Quinatoa Caiza
Edison Fabricio Guanochanga Collaguazo


Introduction. In AC electric systems, the injection of reactive power directly influences the improvement of electrical parameters such as power factor, voltages, loose reduction, line chargeability, etc. In electrical power systems, reactive compensation optimization studies are carried out using various heuristic methods that are characterized by their programming complexity and by a large component of human judgment, which greatly influences the evaluation of the results found.  Objective.  Analyze the results of the application of the Critic method to the optimization of the reactive compensation of the sub-transmission system of the Riobamba Electric Company. Methodology.  Initially, an algorithm to obtain the population of scenarios to be evaluated and the evaluation criteria is proposed, finally the statistical analysis is implemented using the Critic method for multicriteria decision making. The proposed algorithms and the subsequent statistical evaluation were carried out in the EERSA 69kV sub transmission system. Results.  From the results of the application of the proposed methods to the EERSA network, the improvement of the voltage profiles is achieved while the system losses are reduced, all this with the minimum requirements of reactive power injected into the system.


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Chiguano Velasco, A. N., Castillo Fiallos, J. N., Quinatoa Caiza, C. I., & Guanochanga Collaguazo, E. F. (2023). Reactive compensation optimization in electrical systems by the CRITIC method. Ciencia Digital, 7(2), 64-81.


Abdullahi, H., Reyes-Rubiano, L., Ouelhadj, D., Faulin, J., & Juan, A. A. (2021). Modelling and multi-criteria analysis of the sustainability dimensions for the green vehicle routing problem. European Journal of Operational Research, 292(1), 143–154.
Arlenny, A., Zondra, E., & Zulfahri, Z. (2019). Optimation of Capacitor Bank Placement in Electric Network Using Genetic Algorithm. Journal of Physics: Conference Series, 1351(1).
Bayat, A., & Bagheri, A. (2019). Optimal active and reactive power allocation in distribution networks using a novel heuristic approach. Applied Energy, 233–234, 71–85.
Elkhidir, L., Hassan, A., & Khalid, M. (2019). SVC-based controller design via ant colony optimization algorithm. 8th International Conference on Renewable Energy Research and Applications, ICRERA 2019, 301–308.
Kadom, H. F., Hussain, A. N., & Al-Jubori, W. K. S. (2020). Optimal dual design based on capacitor placement and reconfiguration techniques for loss reduction and voltage enhancement. IOP Conference Series: Materials Science and Engineering, 745(1), 012003.
Kamel, S., Mohamed, M., Selim, A., Nasrat, L. S., & Jurado, F. (2019). Power System Voltage Stability Based on Optimal Size and Location of Shunt Capacitor Using Analytical Technique. 2019 10th International Renewable Energy Congress, IREC 2019.
Kersting, W. H. (2012). Distribution system modeling and analysis. Distribution System Modeling and Analysis, 1–314.
Lakra, N. S., Prakash, P., & Jha, R. C. (2017). Power quality improvement of distribution system by reactive power compensation. International Conference on Power and Embedded Drive Control, ICPEDC 2017, 415–420.
Lamas, M. I., Castro-Santos, L., & Rodriguez, C. G. (2020). Optimization of a Multiple Injection System in a Marine Diesel Engine through a Multiple-Criteria Decision-Making Approach. Journal of Marine Science and Engineering 2020, Vol. 8, Page 946, 8(11), 946.
Li, Q., & Yin, H. (2019). Research on reactive power compensation capacity allocation scheme of 110kV substation. Proceedings of 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering, AUTEEE 2019, 241–244.
Li, X., Wang, Y., Li, N., Han, M., Tang, Y., & Liu, F. (2017). Optimal fractional order PID controller design for automatic voltage regulator system based on reference model using particle swarm optimization. International Journal of Machine Learning and Cybernetics, 8(5), 1595–1605.
Okon, T., & Wilkosz, K. (2018). Diagnostics of Reactive Power Flow in a Power Network. 2018 International Conference on Diagnostics in Electrical Engineering, Diagnostika 2018.
Ramadan, H. S., Bendary, A. F., & Nagy, S. (2017). Particle swarm optimization algorithm for capacitor allocation problem in distribution systems with wind turbine generators. International Journal of Electrical Power and Energy Systems, 84, 143–152.
Yepes Piqueras, V. (2022, January). Método CRITIC de toma de decisión multicriterio. Poli blogs. Universidad Politécnica de Valencia.
Zeinalzadeh, A., Estebsari, A., & Bahmanyar, A. (2019). Multi-Objective Optimal Placement of Recloser and Sectionalized in Electricity Distribution Feeders. Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019.